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Items: 14

1.

Daily Heart Rate Variability Indices in Subjects with and Without Metabolic Syndrome Before and After the Elimination of the Influence of Day-Time Physical Activity.

Slušnienė A, Laucevičius A, Navickas P, Ryliškytė L, Stankus V, Stankus A, Navickas R, Laucevičienė I, Kasiulevičius V.

Medicina (Kaunas). 2019 Oct 17;55(10). pii: E700. doi: 10.3390/medicina55100700.

2.

Arterial Destiffening Starts Early after Renal Artery Denervation.

Berukstis A, Navickas R, Neverauskaite-Piliponiene G, Ryliskyte L, Misiura J, Vajauskas D, Misonis N, Laucevicius A.

Int J Hypertens. 2019 Mar 3;2019:3845690. doi: 10.1155/2019/3845690. eCollection 2019.

3.

Association of aortic stiffness, carotid intima-media thickness and endothelial function with cardiovascular events in metabolic syndrome subjects.

Ryliškytė L, Navickas R, Šerpytis P, Puronaitė R, Zupkauskienė J, Jucevičienė A, Badarienė J, Rimkienė MA, Ryliškienė K, Skiauterytė E, Laucevičius A.

Blood Press. 2019 Apr;28(2):131-138. doi: 10.1080/08037051.2019.1569461. Epub 2019 Jan 30.

PMID:
30698025
4.

Multimorbidity care model: Recommendations from the consensus meeting of the Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle (JA-CHRODIS).

Palmer K, Marengoni A, Forjaz MJ, Jureviciene E, Laatikainen T, Mammarella F, Muth C, Navickas R, Prados-Torres A, Rijken M, Rothe U, Souchet L, Valderas J, Vontetsianos T, Zaletel J, Onder G; Joint Action on Chronic Diseases and Promoting Healthy Ageing Across the Life Cycle (JA-CHRODIS).

Health Policy. 2018 Jan;122(1):4-11. doi: 10.1016/j.healthpol.2017.09.006. Epub 2017 Sep 14.

PMID:
28967492
5.

Aerobic Training Effect on Arterial Stiffness in Metabolic Syndrome.

Slivovskaja I, Ryliskyte L, Serpytis P, Navickas R, Badarienė J, Celutkiene J, Puronaite R, Ryliskiene K, Cypiene A, Rinkuniene E, Sileikiene V, Petrauskiene B, Juocevicius A, Laucevicius A.

Am J Med. 2018 Feb;131(2):148-155. doi: 10.1016/j.amjmed.2017.07.038. Epub 2017 Aug 31.

PMID:
28864036
6.

Identifying differential miR and gene consensus patterns in peripheral blood of patients with cardiovascular diseases from literature data.

Šatrauskienė A, Navickas R, Laucevičius A, Huber HJ.

BMC Cardiovasc Disord. 2017 Jun 30;17(1):173. doi: 10.1186/s12872-017-0609-z.

7.

Identifying circulating microRNAs as biomarkers of cardiovascular disease: a systematic review.

Navickas R, Gal D, Laucevičius A, Taparauskaitė A, Zdanytė M, Holvoet P.

Cardiovasc Res. 2016 Sep;111(4):322-37. doi: 10.1093/cvr/cvw174. Epub 2016 Jun 29. Review.

8.

Multimorbidity: What do we know? What should we do?

Navickas R, Petric VK, Feigl AB, Seychell M.

J Comorb. 2016 Feb 17;6(1):4-11. doi: 10.15256/joc.2016.6.72. eCollection 2016. Review.

9.

Aortic stiffness is an independent determinant of left ventricular diastolic dysfunction in metabolic syndrome patients.

Solovjova S, Ryliškytė L, Čelutkienė J, Badarienė J, Navickas R, Puronaitė R, Bieliauskaitė G, Skiauterytė E, Lisaitė G, Laucevičius A.

Blood Press. 2016;25(1):11-20. doi: 10.3109/08037051.2016.1093334.

PMID:
26556678
10.

Time to face the challenge of multimorbidity. A European perspective from the joint action on chronic diseases and promoting healthy ageing across the life cycle (JA-CHRODIS).

Onder G, Palmer K, Navickas R, Jurevičienė E, Mammarella F, Strandzheva M, Mannucci P, Pecorelli S, Marengoni A; Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle (JA-CHRODIS).

Eur J Intern Med. 2015 Apr;26(3):157-9. doi: 10.1016/j.ejim.2015.02.020. Epub 2015 Mar 18. Review.

PMID:
25797840
11.

Association of cardio-ankle vascular index with cardiovascular risk factors and cardiovascular events in metabolic syndrome patients.

Laucevičius A, Ryliškytė L, Balsytė J, Badarienė J, Puronaitė R, Navickas R, Solovjova S.

Medicina (Kaunas). 2015;51(3):152-158. doi: 10.1016/j.medici.2015.05.001. Epub 2015 Jun 16.

12.

Arterial stiffness and influences of the metabolic syndrome: a cross-countries study.

Scuteri A, Cunha PG, Rosei EA, Badariere J, Bekaert S, Cockcroft JR, Cotter J, Cucca F, De Buyzere ML, De Meyer T, Ferrucci L, Franco O, Gale N, Gillebert TC, Hofman A, Langlois M, Laucevicius A, Laurent S, Mattace Raso FU, Morrell CH, Muiesan ML, Munnery MM, Navickas R, Oliveira P, Orru' M, Pilia MG, Rietzschel ER, Ryliskyte L, Salvetti M, Schlessinger D, Sousa N, Stefanadis C, Strait J, Van daele C, Villa I, Vlachopoulos C, Witteman J, Xaplanteris P, Nilsson P, Lakatta EG; MARE Consortium.

Atherosclerosis. 2014 Apr;233(2):654-60. doi: 10.1016/j.atherosclerosis.2014.01.041. Epub 2014 Jan 30.

13.

Prevalence of high-risk profile in middle-aged subjects with arterial hypertension: a nationwide survey.

Laucevičius A, Rinkūnienė E, Petrulionienė Z, Puronaitė R, Kasiulevičius V, Jatužis D, Ryliškytė L, Badarienė J, Cypienė A, Navickas R, Kizlaitis R, Gustienė O, Slapikas R.

Blood Press. 2014 Oct;23(5):281-7. doi: 10.3109/08037051.2014.883187. Epub 2014 Feb 18.

PMID:
24533617
14.

Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome.

Ozery-Flato M, Parush N, El-Hay T, Visockienė Z, Ryliškytė L, Badarienė J, Solovjova S, Kovaitė M, Navickas R, Laucevičius A.

Diabetol Metab Syndr. 2013 Jul 15;5(1):36. doi: 10.1186/1758-5996-5-36.

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